Triple

T14335355
Position Surface form Disambiguated ID Type / Status
Subject Counter-Strike: Global Offensive E355454 entity
Predicate esportsOrganizer P113830 FINISHED
Object DreamHack E750262 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DreamHack | Statement: [Counter-Strike: Global Offensive, esportsOrganizer, DreamHack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DreamHack
Context triple: [Counter-Strike: Global Offensive, esportsOrganizer, DreamHack]
  • A. DreamHack chosen
    DreamHack is a major global esports and digital festival organizer known for hosting large-scale gaming tournaments, LAN parties, and entertainment events.
  • B. Camp d'Esports
    Camp d'Esports is a multi-purpose football stadium in Lleida, Catalonia, primarily known as the home ground of local club UE Lleida.
  • C. Minecon
    Minecon is an official convention dedicated to the game Minecraft, featuring announcements, panels, community events, and presentations from developers and prominent community members.
  • D. Paris Games Week
    Paris Games Week is a major annual video game trade fair in Paris that showcases upcoming games, hardware, and industry innovations to the public and professionals.
  • E. DreamSpark
    DreamSpark was a Microsoft program that provided students with free access to professional-level developer and design tools, later rebranded as Azure Dev Tools for Teaching.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469634688190980df59ee482b792 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.